Senior Data Engineer, Cloud Supply Chain, Data Engineering
Teknik, data och digitalt · Data, AI och analys · Data engineering
I korthet
As a Senior Data Engineer for Google Cloud's Supply Chain team, you will build scalable data pipelines, perform complex SQL transformations, and create visualizations to drive data-backed recommendations. You will also be responsible for data governance and mentoring junior engineers.
Ansvarsområden
- Build scalable data pipelines with robust quality monitoring.
- Write complex SQL for extraction and transformation to power reporting and analysis.
- Translate stakeholder data needs into actionable technical solutions.
- Create and maintain dashboards for communicating insights.
- Automate data processes and build efficient tools using Python and SQL.
- Own the Data Governance charter for compliance.
- Mentor junior engineers through technical guidance and code reviews.
Krav
- Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
- 5 years of experience in data analysis, database querying (e.g., SQL), and BigQuery.
Önskade kvalifikationer
- 12 years of experience leading data engineering and governance, defining policies, ensuring compliance, and managing metadata systems.
- Proficient in Python, complex system design, and deploying solutions across GCP, data warehouses, and quality tools.
- Proven track record of leading large-scale technical projects, mentoring junior engineers, and driving collaborative problem-solving.
- Expertise in large-scale data analysis, statistics, and machine learning model development.
- Data Center or Supply Chain domain knowledge.
- Exceptional ability to clearly translate and explain complex technical concepts to various audiences.
Förmåner
- Opportunity to work on cutting-edge technology in Google Cloud.
- Collaborate with cross-functional teams.
- Contribute to the growth of Google Cloud's Supply Chain capabilities.
- Potential for equity grants (subject to terms and conditions).
#Data Engineering#Cloud#Supply Chain#SQL#BigQuery#Python#GCP